Exploration of the effects of online personal attacks on victims' activity on social media (Reddit). It's the first large-scale (150K users who generated more than 180K comments), behavioral analysis that uses a high-precision Artificial Intelligence system and is not based on self-reported data. The data analysis has been conducted in R from three perspectives: (1)~classical statistical methods, (2)~Bayesian estimation, and (3)~model-theoretic analysis with hurdle and zero-inflated models. The key observation: personal attacks received online significantly decrease victims' online activity.

• The actual research paper is available here.

• Online walkthrough is available here.

• Github folder with all the files is available here.

• The datasets subfolder includes the dataset (quittingFinalAnon.csv) and the bayesian chains resulting from the bayesian analysis.

• A pdf file with this walkthrough is available here and its R markdown source file is here.